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Model: OpenAssistant/oasst-sft-1-pythia-12b Source: Original Platform
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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- sft
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pipeline_tag: text-generation
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widget:
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- text: <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
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- text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
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- text: <|prompter|>Write a story about future of AI development<|endoftext|><|assistant|>
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---
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# Open-Assistant SFT-1 12B Model
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This is the first iteration English supervised-fine-tuning (SFT) model of
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the [Open-Assistant](https://github.com/LAION-AI/Open-Assistant) project.
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It is based on a Pythia 12B that was fine-tuned on ~22k human demonstrations
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of assistant conversations collected through the
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[https://open-assistant.io/](https://open-assistant.io/) human feedback web
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app before March 7, 2023.
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## Model Details
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- **Developed by:** [Open-Assistant Contributors](https://open-assistant.io/)
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- **Model type:** Transformer-based Language Model
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- **Language:** English
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- **Finetuned from:** [EleutherAI / pythia-12b-deduped](https://huggingface.co/EleutherAI/pythia-12b-deduped)
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- **Code:** [Open-Assistant/model/model_training](https://github.com/LAION-AI/Open-Assistant/tree/main/model/model_training)
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- **Demo:** [Continuations for 250 random prompts](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-03-09_andreaskoepf_oasst-1_12b_7000_sampling_noprefix_lottery.json) ([sampling code](https://github.com/Open-Assistant/oasst-model-eval/blob/3d71f3be100c05cd8ddb568365e036a29fbff8c7/model_eval/manual/sampling_report.py)).
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- **License:** Apache 2.0
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- **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord)
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## Prompting
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Two special tokens are used to mark the beginning of user and assistant turns:
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`<|prompter|>` and `<|assistant|>`. Each turn ends with a `<|endoftext|>` token.
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Input prompt example:
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```
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<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
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```
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The input ends with the `<|assistant|>` token to signal that the model should
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start generating the assistant reply.
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Example of generated continuation (typical sampling 0.2):
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```
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A visual joke often accompanied by text that spreads rapidly from individual
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to individual. The exact origin of the term "meme" is unclear, but it was
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first used in the 1990s by Richard Dawkins in his book "The Selfish Gene."
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He defined a meme as an idea, behavior, or style that is transmitted from
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one person to another within a culture.
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Dawkins' use of the term caught on among scholars and journalists, who began
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to apply the concept to other types of cultural items such as advertisements,
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fashion trends, and jokes. Over time, the term "meme" has come to be used
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more generally to describe any social behavior that can be repeated and
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altered by individuals. Today, the term is widely recognized and applied in
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fields ranging from anthropology to psychology to marketing.<|endoftext|>
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```
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## Limitations
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See limitations of Pythia 12B base model [here](https://huggingface.co/EleutherAI/pythia-12b-deduped#limitations-and-biases).
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The model is known to fail horribly at answering math and coding questions.
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Beware of hallucinations: Outputs are often factually wrong or misleading.
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Replies might look convincing (at first glance) while containing completely
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made up false statements.
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This model is usable only for English conversations.
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"_name_or_path": "/home/ubuntu/Open-Assistant/model/model_training/.saved_models/oasst-sft-1_12b/checkpoint-7500/",
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"GPTNeoXForCausalLM"
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.26.1",
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"use_parallel_residual": true,
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"vocab_size": 50288
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}
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|
||||
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|
||||
"gpt_neox.layers.34.post_attention_layernorm.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.34.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.attention.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.attention.dense.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.attention.dense.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.attention.masked_bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.attention.query_key_value.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.attention.query_key_value.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.attention.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.input_layernorm.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.mlp.dense_4h_to_h.bias": "pytorch_model-00003-of-00003.bin",
|
||||
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|
||||
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|
||||
"gpt_neox.layers.35.mlp.dense_h_to_4h.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.post_attention_layernorm.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.35.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin"
|
||||
}
|
||||
}
|
||||
14
special_tokens_map.json
Normal file
14
special_tokens_map.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|prefix_begin|>",
|
||||
"<|prompter|>",
|
||||
"<|system|>",
|
||||
"<|prefix_end|>",
|
||||
"<|assistant|>"
|
||||
],
|
||||
"bos_token": "<|endoftext|>",
|
||||
"eos_token": "<|endoftext|>",
|
||||
"pad_token": "<|padding|>",
|
||||
"sep_token": "<|endoftext|>",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
100573
tokenizer.json
Normal file
100573
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
10
tokenizer_config.json
Normal file
10
tokenizer_config.json
Normal file
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"bos_token": "<|endoftext|>",
|
||||
"eos_token": "<|endoftext|>",
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"name_or_path": "/home/ubuntu/Open-Assistant/model/model_training/.saved_models/oasst-sft-1_12b/checkpoint-7500/",
|
||||
"special_tokens_map_file": "/fsx/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/3523781c8df75f7741687a4284f6f70e1afa12f4/special_tokens_map.json",
|
||||
"tokenizer_class": "GPTNeoXTokenizer",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
Reference in New Issue
Block a user